AI for the Public Sector

  • Overview
  • Course Content
  • Requirements & Materials
Overview

AI for the Public Sector

Course Description

Enjoy an in-depth introduction to artificial intelligence (AI), covering its fundamental concepts, historical development, and practical applications across various industries. Participants will explore key AI technologies such as machine learning, neural networks, and deep learning, gaining a solid understanding of how these technologies work and their significance in the AI landscape. 

The training will differentiate between narrow AI and general AI, highlighting their respective capabilities and limitations. Attendees will also learn to recognize examples of AI in everyday life and analyze public sector applications for addressing unique industry challenges and improving efficiency.

 

Course Content

Module 1: Introduction to Artificial Intelligence 
1.1 What is AI? 

  • Definition and history 
  • Key concepts: Machine learning, neural networks, and deep learning 
     

1.2 Types of AI and Common Applications 

  • Narrow AI versus General AI 
  • Examples in everyday life 
  • Industry-specific applications 

1.3 Ethical AI 

  • Fairness, accountability, and transparency 
  • Addressing bias and ensuring a level playing field  

Module 2. Practical Applications Using AI (Interactive module with participants – laptops ideal for this session) 

2.1 Brief Introduction to AI tools and Their Use in Local Government 

2.2 Live Demonstrations 

  • Tool 1: AI Chatbot for Citizen Services (Phoenix's myPHX311 portal)
  • Tool 2: Data Analytics Dashboard for Traffic Management (Pittsburgh's traffic management system)
  • Tool 3: Predictive Policing Tool (PredPol)
  • Tool 4: Public Health Monitoring System (HealthMap)
  • Tool 5: Waste Management Optimization Tool (Rubicon)

2.3 Using Prompts and Copilot for Day-to-Day Issues  

  • Brief overview of Copilot and its capabilities
  • Scheduling and calendar management 
  • Document drafting and editing 
  • Survey/data analysis and reporting 
  • Citizen engagement  

2.4 Group Exercise 

  • Learners will work in small groups to identify a specific task or scenario to solve using one of the AI tools or Copilot. 

2.5 Report Out and Discussion 

Module 3: AI + Supply Chain and Logistics
3.1 AI Applications in Supply Chain  

  • Predictive analytics 
  • Network optimization 
  • Automation (autonomous vehicles, cobots, etc. in industries like manufacturing) 
  • Cognitive technologies (AI-powered chatbots for customer service and supply chain management as well as computer vision for quality control and inventory management)

3.2 Future Trends and Emerging Technologies  

  • Blockchain 
  • Internet of Things (IoT) 
  • Digital twins 

Module 4: AI in Local Operations 

4.1 Enhancing Public Services 

  • Chatbots for citizen services 
  • Predictive analytics for public safety 
  • Courts and city clerk operations 
  • Smart city initiatives 

4.2 Case Studies and Best Practices 

  • Successful AI implementation in other municipalities 
  • Partnerships 
  • Ongoing cost and maintenance 

Breakout Groups – Practical Steps for Local Implementation 
 
Learners working in small groups will complete the following: 

  • Design an AI solution for a community 
  • Address challenges and concerns 
  • Develop an implementation strategy (identify partners, budget prioritization, resources, etc.) 

Breakout Group Presentations 

  •  Each group presents its discussion points and implementation plan to the rest of the cohort. Open floor for feedback and discussion. 

Course Conclusion and Networking 

  •  Summary of key takeaways 
  • Post course survey  
  • Networking opportunity for participants
Requirements & Materials

Materials

Required (student must provide):

  • Laptop or smartphone

Provided (student will receive):

  • Students will be provided with a digital copy of the student notebook and handouts

Who Should Attend

Local government officials as well as manufacturing, tourism, education, agriculture, and business leaders/executives.

Business professional attending in-person professional development course

What You Will Learn

  • AI fundamentals
  • AI principles, applications, and impacts on various aspects of life and work
Analytics professional learning on computer and laptop

How You Will Benefit

  • Identify and describe the different types of AI and their common applications in various fields. 
  • Explain the key differences between narrow AI and general AI, including their capabilities and limitations. 
  • Recognize examples of AI in everyday life and understand how these technologies impact individual routines. 
  • Explore applications of AI for addressing industry-specific challenges. 
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  • Taught by Experts in the Field icon
    Taught by Experts in the Field

TRAIN AT YOUR LOCATION

We enable employers to provide specialized, on-location training on their own timetables. Our world-renowned experts can create unique content that meets your employees' specific needs. We also have the ability to deliver courses via web conferencing or on-demand online videos. For 15 or more students, it is more cost-effective for us to come to you.

  • Save Money
  • Flexible Schedule
  • Group Training
  • Customize Content
  • On-Site Training
  • Earn a Certificate
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